Results 1 - 10 of 3,549

Bayesian Face Revisited: A Joint Formulation

by Dong Chen, Xudong Cao, Liwei Wang, Fang Wen, Jian Sun
"... Abstract. In this paper, we revisit the classical Bayesian face recognition method by Baback Moghaddam et al. and propose a new joint formulation. The classical Bayesian method models the appearance difference between two faces. We observe that this “difference ” formulation may reduce the separabil ..."
Abstract - Cited by 38 (2 self) - Add to MetaCart
Abstract. In this paper, we revisit the classical Bayesian face recognition method by Baback Moghaddam et al. and propose a new joint formulation. The classical Bayesian method models the appearance difference between two faces. We observe that this “difference ” formulation may reduce

Collaborative plans for complex group action

by Barbara J. Grosz , Sarit Kraus , 1996
"... The original formulation of SharedPlans by B. Grosz and C. Sidner ( 1990) was developed to provide a model of collaborative planning in which it was not necessary for one agent to have intentions-to toward an act of a different agent. Unlike other contemporaneous approaches (J.R. Searle, 1990), this ..."
Abstract - Cited by 543 (30 self) - Add to MetaCart
), this formulation provided for two agents to coordinate their activities without introducing any notion of irreducible joint intentions. However, it only treated activities that directly decomposed into single-agent actions, did not address the need for agents to commit to their joint activity, and did

Joint Channel Assignment and Routing for Throughput Optimization in Multi-radio Wireless Mesh Networks

by Mansoor Alicherry , Randeep Bhatia , Li Erran Li , 2005
"... Multi-hop infrastructure wireless mesh networks offer increased reliability, coverage and reduced equipment costs over their singlehop counterpart, wireless LANs. Equipping wireless routers with multiple radios further improves the capacity by transmitting over multiple radios simultaneously using o ..."
Abstract - Cited by 443 (0 self) - Add to MetaCart
to the Internet, thereby improving per-client throughput. Unlike previous heuristic approaches, we mathematically formulate the joint channel assignment and routing problem, taking into account the interference constraints, the number of channels in the network and the number of radios available at each mesh

Support vector machine learning for interdependent and structured output spaces

by Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun - In ICML , 2004
"... Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input representations. This paper addresses the complementary issue of problems involving complex outputs suchas multiple depe ..."
Abstract - Cited by 450 (20 self) - Add to MetaCart
dependent output variables and structured output spaces. We propose to generalize multiclass Support Vector Machine learning in a formulation that involves features extracted jointly from inputs and outputs. The resulting optimization problem is solved efficiently by a cutting plane algorithm that exploits

Inference in Linear Time Series Models with Some Unit Roots,”

by Christopher A Sims , AND Jamws H Stock , Mark W Watson1 - Econometrica , 1990
"... This paper considers estimation and hypothesis testing in linear time series models when some or all of the variables have unit roots. Our motivating example is a vector autoregression with some unit roots in the companion matrix, which might include polynomials in time as regressors. In the genera ..."
Abstract - Cited by 390 (14 self) - Add to MetaCart
. In the general formulation, the variable might be integrated or cointegrated of arbitrary orders, and might have drifts as well. We show that parameters that can be written as coefficients on mean zero, nonintegrated regressors have jointly normal asymptotic distributions, converging at the rate T'/2

Information-Theoretic Co-Clustering

by Inderjit S. Dhillon, Subramanyam Mallela, Dharmendra S. Modha - In KDD , 2003
"... Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingency table analysis is co-clustering: simultaneous clustering of the rows and columns. A novel theoretical formulation views ..."
Abstract - Cited by 346 (12 self) - Add to MetaCart
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingency table analysis is co-clustering: simultaneous clustering of the rows and columns. A novel theoretical formulation

Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization

by Daniel Pérez Palomar, John M. Cioffi, Miguel Angel Lagunas - IEEE TRANS. SIGNAL PROCESSING , 2003
"... This paper addresses the joint design of transmit and receive beamforming or linear processing (commonly termed linear precoding at the transmitter and equalization at the receiver) for multicarrier multiple-input multiple-output (MIMO) channels under a variety of design criteria. Instead of consid ..."
Abstract - Cited by 297 (19 self) - Add to MetaCart
This paper addresses the joint design of transmit and receive beamforming or linear processing (commonly termed linear precoding at the transmitter and equalization at the receiver) for multicarrier multiple-input multiple-output (MIMO) channels under a variety of design criteria. Instead

A Hierarchical Approach to Interactive Motion Editing for Human-like Figures

by Jehee Lee, Sung Yong Shin , 1999
"... This paper presents a technique for adapting existing motion of a human-like character to have the desired features that are specified by a set of constraints. This problem can be typically formulated as a spacetime constraint problem. Our approach combines a hierarchical curve fitting technique wit ..."
Abstract - Cited by 228 (16 self) - Add to MetaCart
This paper presents a technique for adapting existing motion of a human-like character to have the desired features that are specified by a set of constraints. This problem can be typically formulated as a spacetime constraint problem. Our approach combines a hierarchical curve fitting technique

Supervised learning of semantic classes for image annotation and retrieval

by Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2007
"... Abstract—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as the group of database images labeled with a common semantic label. It is shown that, by establishing this one-to- ..."
Abstract - Cited by 223 (18 self) - Add to MetaCart
argument and performed efficiently with a hierarchical extension of expectation-maximization. The benefits of the supervised formulation over the more complex, and currently popular, joint modeling of semantic label and visual feature distributions are illustrated through theoretical arguments

A Compact Model for Speaker-Adaptive Training

by Tasos Anastasakos, John Mcdonough, Richard Schwartz, John Makhoul - in Proc. ICSLP , 1996
"... In this work we formulate a novel approach to estimating the parameters of continuous density HMMs for speaker-independent (SI) continuous speech recognition. It is motivated by the fact that variability in SI acoustic models is attributed to both phonetic variation and variation among the speakers ..."
Abstract - Cited by 208 (20 self) - Add to MetaCart
In this work we formulate a novel approach to estimating the parameters of continuous density HMMs for speaker-independent (SI) continuous speech recognition. It is motivated by the fact that variability in SI acoustic models is attributed to both phonetic variation and variation among the speakers
Results 1 - 10 of 3,549